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ESRA 2023 sessions by theme

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Basic Human Values

Coordinator 1Professor Eldad Davidov (University of Cologne and University of Zurich)
Coordinator 2Professor Jan Cieciuch (Cardinal Stefan Wyszynski University in Warsaw and University of Zurich)
Coordinator 3Professor Peter Schmidt (University of Giessen and University of Mainz)

Session Details

The session on basic human values in which researchers can present their studies on and advance the understanding of human values from different points of view and using survey data and various methods has been present at ESRA conferences for many years now. These presentations often developed into published studies in substantive and methodological journals and books. We wish to continue this tradition at the upcoming ESRA conference.
Indeed, values have held an important position in the social sciences since their inception. They have been used to explain the motivational bases of attitudes and behavior and to characterize differences between both individuals and societies. One of the most often used value model is the one proposed by Schwartz (1992; Schwartz et al., 2012). The designers of the European Social Survey (ESS) chose this theory as the basis for developing a human values scale to include in the core of the survey.
In this session we welcome presentations on continuing work on basic human values as postulated by Schwartz, using the ESS and other data sources. Possible presentation topics may include (but are not limited to):
(1) the measurement of human values in various languages and cultures;
(2) values as predictors of attitudes, opinions and behavior;
(3) values as consequences of various variables such as sociodemographic characteristics;
(4) value change and development among children, adolescents and adults, using various methods of data analysis;
(5) relations between different types of human values measurements (such as the PVQ-57, the PVQ-40 and the picture-based measures);
(6) multilevel and multigroup structural equation models and mixture models, using human values as individual and contextual predictors.
Both substantive and methodological papers using cross-sectional, cross-cultural or longitudinal datasets of basic human values are welcome.